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author | Ezio Melotti <ezio.melotti@gmail.com> | 2013-01-18 17:55:46 (GMT) |
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committer | Ezio Melotti <ezio.melotti@gmail.com> | 2013-01-18 17:55:46 (GMT) |
commit | ff12fae80e15ad29ae2557d23e70f6ff9365b31f (patch) | |
tree | 9cbfc92a5af92ae137dee514ee41e92d5c48c8fe | |
parent | 288234fe0e5fa91af5a00ab55b3136be041f659f (diff) | |
download | cpython-ff12fae80e15ad29ae2557d23e70f6ff9365b31f.zip cpython-ff12fae80e15ad29ae2557d23e70f6ff9365b31f.tar.gz cpython-ff12fae80e15ad29ae2557d23e70f6ff9365b31f.tar.bz2 |
#16978: rephrase sentence and fix typo. Initial patch by Tshepang Lekhonkhobe.
-rw-r--r-- | Doc/library/threading.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/Doc/library/threading.rst b/Doc/library/threading.rst index 43087ef..4a01211 100644 --- a/Doc/library/threading.rst +++ b/Doc/library/threading.rst @@ -22,10 +22,10 @@ The :mod:`dummy_threading` module is provided for situations where .. impl-detail:: - Due to the :term:`Global Interpreter Lock`, in CPython only one thread + In CPython, due to the :term:`Global Interpreter Lock`, only one thread can execute Python code at once (even though certain performance-oriented libraries might overcome this limitation). - If you want your application to make better of use of the computational + If you want your application to make better use of the computational resources of multi-core machines, you are advised to use :mod:`multiprocessing` or :class:`concurrent.futures.ProcessPoolExecutor`. However, threading is still an appropriate model if you want to run |